Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke
Prediction of incidence of OHCA, STEMI, and stroke is possible with very high accuracy using INLA and MLMM models. A robust spatio-temporal correlation between the 3 pathologies exists. Widespread implementation in clinical practice of prediction algorithms may allow to improve resource allocation, reduce treatment delays, and improve outcomes.
Authors
- Tommaso Scquizzato (ORCID: https://orcid.org/0000-0002-1394-8402)
- Stefano Peluso (ORCID: https://orcid.org/0000-0003-2963-2346)
- Antonietta Mira (ORCID: https://orcid.org/0000-0002-5609-7935)
- Angelo Auricchio (ORCID: https://orcid.org/0000-0003-2116-6993)
- Ruggero Cresta
- Federico Ravenda (ORCID: https://orcid.org/0009-0004-1421-252X)
- Maria Luce Caputo
- Claudio Benvenuti
- Stefano Tonazzi
Institutions
- University of Insubria (IT)
- Vita-Salute San Raffaele University (IT)
- Epatocentro Ticino (CH)
- Inclusione Andicap Ticino (CH)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
- Università della Svizzera italiana (CH)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- Resuscitation Plus
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1016/j.resplu.2024.100810
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung